My congrats for the hard effort too. I am very pleased to see the PyTables
project so healty and well managed. Thanks to all the developers, most
specially Antonio and Anthony. You guys rock!
Francesc
El 02/06/2013 17:54, "Anthony Scopatz" <scop...@gmail.com> va escriure:
> Congratulations All!
>
> This is a huge and important milestone for PyTables and I am glad to have
> been a part of it!
>
> Be Well
> Anthony
>
>
> On Sat, Jun 1, 2013 at 6:33 AM, Antonio Valentino <
> antonio.valent...@tiscali.it> wrote:
>
>> ===========================
>> Announcing PyTables 3.0.0
>> ===========================
>>
>> We are happy to announce PyTables 3.0.0.
>>
>> PyTables 3.0.0 comes after about 5 years from the last major release
>> (2.0) and 7 months since the last stable release (2.4.0).
>>
>> This is new major release and an important milestone for the PyTables
>> project since it provides the long waited support for Python 3.x, which
>> has been around for 4 years.
>>
>> Almost all of the core numeric/scientific packages for Python already
>> support Python 3 so we are very happy that now also PyTables can provide
>> this important feature.
>>
>>
>> What's new
>> ==========
>>
>> A short summary of main new features:
>>
>> - Since this release, PyTables now provides full support to Python 3
>> - The entire code base is now more compliant with coding style
>> guidelines described in PEP8.
>> - Basic support for HDF5 drivers. It now is possible to open/create an
>> HDF5 file using one of the SEC2, DIRECT, LOG, WINDOWS, STDIO or CORE
>> drivers.
>> - Basic support for in-memory image files. An HDF5 file can be set
>> from or copied into a memory buffer.
>> - Implemented methods to get/set the user block size in a HDF5 file.
>> - All read methods now have an optional *out* argument that allows to
>> pass a pre-allocated array to store data.
>> - Added support for the floating point data types with extended
>> precision (Float96, Float128, Complex192 and Complex256).
>> - Consistent ``create_xxx()`` signatures. Now it is possible to create
>> all data sets Array, CArray, EArray, VLArray, and Table from existing
>> Python objects.
>> - Complete rewrite of the `nodes.filenode` module. Now it is fully
>> compliant with the interfaces defined in the standard `io` module.
>> Only non-buffered binary I/O is supported currently.
>>
>> Please refer to the RELEASE_NOTES document for a more detailed list of
>> changes in this release.
>>
>> As always, a large amount of bugs have been addressed and squashed as
>> well.
>>
>> In case you want to know more in detail what has changed in this
>> version, please refer to: http://pytables.github.io/release_notes.html
>>
>> You can download a source package with generated PDF and HTML docs, as
>> well as binaries for Windows, from:
>> http://sourceforge.net/projects/pytables/files/pytables/3.0.0
>>
>> For an online version of the manual, visit:
>> http://pytables.github.io/usersguide/index.html
>>
>>
>> What it is?
>> ===========
>>
>> PyTables is a library for managing hierarchical datasets and
>> designed to efficiently cope with extremely large amounts of data with
>> support for full 64-bit file addressing. PyTables runs on top of
>> the HDF5 library and NumPy package for achieving maximum throughput and
>> convenient use. PyTables includes OPSI, a new indexing technology,
>> allowing to perform data lookups in tables exceeding 10 gigarows
>> (10**10 rows) in less than a tenth of a second.
>>
>>
>> Resources
>> =========
>>
>> About PyTables: http://www.pytables.org
>>
>> About the HDF5 library: http://hdfgroup.org/HDF5/
>>
>> About NumPy: http://numpy.scipy.org/
>>
>>
>> Acknowledgments
>> ===============
>>
>> Thanks to many users who provided feature improvements, patches, bug
>> reports, support and suggestions. See the ``THANKS`` file in the
>> distribution package for a (incomplete) list of contributors. Most
>> specially, a lot of kudos go to the HDF5 and NumPy makers.
>> Without them, PyTables simply would not exist.
>>
>>
>> Share your experience
>> =====================
>>
>> Let us know of any bugs, suggestions, gripes, kudos, etc. you may have.
>>
>>
>> ----
>>
>> **Enjoy data!**
>>
>> -- The PyTables Developers
>>
>>
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